mlsanityData to 7 Oct 2026

One-Class Convolutional Neural Network

arXiv 1901.08688 ↗First posted 24 Jan 2019cs.CVcited by 37

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Abstract (arXiv)

We present a novel Convolutional Neural Network (CNN) based approach for one class classification. The idea is to use a zero centered Gaussian noise in the latent space as the pseudo-negative class and train the network using the cross-entropy loss to learn a good representation as well as the decision boundary for the given class. A key feature of the proposed approach is that any pre-trained CNN can be used as the base network for one class classification. The proposed One Class CNN (OC-CNN) is evaluated on the UMDAA-02 Face, Abnormality-1001, FounderType-200 datasets. These datasets are related to a variety of one class application problems such as user authentication, abnormality detection and novelty detection. Extensive experiments demonstrate that the proposed method achieves significant improvements over the recent state-of-the-art methods. The source code is available at : github.com/otkupjnoz/oc-cnn.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jan 2019.

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Citing papers per year: 2021: 11; 2022: 9; 2023: 5; 2024: 6; 2025: 4; 2026: 2.

37 papers.

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  1. 2022SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakescited by 49
  2. 2021One-Class Classification: A Surveycited by 35
  3. 2023AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challengecited by 35
  4. 2021Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectorscited by 32
  5. 2022Open-set Adversarial Defense with Clean-Adversarial Mutual Learningcited by 21
  6. 2021Visual Anomaly Detection for Images: A Surveycited by 11
  7. 2022Learning image representations for anomaly detection: application to discovery of histological alterations in drug developmentcited by 11
  8. 2021Anomaly Detection using Edge Computing in Video Surveillance System: Reviewcited by 6
  9. 2021Efficient Anomaly Detection Using Self-Supervised Multi-Cue Taskscited by 6
  10. 2022The Invariant Ground Truth of Affectcited by 6
  11. 2023PAD: Towards Principled Adversarial Malware Detection Against Evasion Attackscited by 5
  12. 2024Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofingcited by 3
25 more
  1. 2021Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Outcited by 2
  2. 2021What is Wrong with One-Class Anomaly Detection?cited by 2
  3. 2021Discriminative-Generative Representation Learning for One-Class Anomaly Detectioncited by 2
  4. 2022Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernelscited by 2
  5. 2022Learning The Likelihood Test With One-Class Classifiers for Physical Layer Authenticationcited by 2
  6. 2023Local and Global Information in Obstacle Detection on Railway Trackscited by 2
  7. 2024Critical Review for One-class Classification: recent advances and the reality behind themcited by 2
  8. 2024OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotationscited by 2
  9. 2021Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detectioncited by 1
  10. 2023Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamicscited by 1
  11. 2024Introducing 'Inside' Out of Distributioncited by 1
  12. 2024Chromosomal Structural Abnormality Diagnosis by Homologous Similaritycited by 1
  13. 2025Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Methodcited by 1
  14. 2025Interpretable Transformation and Analysis of Timelines through Learning via Surprisabilitycited by 1
  15. 2025Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Imagescited by 1
  16. 2021A Joint Representation Learning and Feature Modeling Approach for One-class Recognitioncited by 0
  17. 2021Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detectioncited by 0
  18. 2022Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Datacited by 0
  19. 2022OCFormer: One-Class Transformer Network for Image Classificationcited by 0
  20. 2022Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Datacited by 0
  21. 2023Image Outlier Detection Without Training using RANSACcited by 0
  22. 2024Two Is Better Than One: Aligned Representation Pairs for Anomaly Detectioncited by 0
  23. 2025SpaNN: Detecting Multiple Adversarial Patches on CNNs by Spanning Saliency Thresholdscited by 0
  24. 2026Decomposing one-class support vector machine into an ensemble of one-data support vector machinescited by 0
  25. 2026Meta-classification of one-class classification models using ranking correlation and nearest neighborcited by 0